摘要
可视化自适应神经网络是采用MATLAB语言和累积误差BP学习算法编制的学习速率和动量系数能够自适应调整的人工神经网络 .它能极大地提高网络的收敛速度 ,缩短训练时间 ,减少迭代次数和防止震荡 .将该网络应用于某矿山采场点柱的可靠性分析中 ,学习时图声并茂 。
Visual self adaptive artificial neural network software is developed by use of MATLAB language. It is conviennient to transplant and to enlarge. Cumulative error BP rule with self adaptive learning rate and moment parameter can enormously enhance network′s convergence rate. Results show that this neural network will find effective application in mining engineering.
出处
《中南工业大学学报》
CSCD
北大核心
2000年第3期205-207,共3页
Journal of Central South University of Technology(Natural Science)
基金
国家"九五"科技攻关计划资助项目! ( 95 116 0 1 0 1 0 3)
